{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用SVM惩罚参数C值效果对比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## 设置属性防止中文乱码\n",
    "mpl.rcParams['font.sans-serif'] = [u'SimHei']\n",
    "mpl.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "## 读取数据\n",
    "# 'sepal length', 'sepal width', 'petal length', 'petal width'\n",
    "iris_feature = u'花萼长度', u'花萼宽度', u'花瓣长度', u'花瓣宽度'\n",
    "path = './datas/iris.data'  # 数据文件路径\n",
    "data = pd.read_csv(path, header=None)\n",
    "x, y = data[list(range(4))], data[4]\n",
    "y = pd.Categorical(y).codes\n",
    "x = x[[0, 1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## 数据分割\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, random_state=28, train_size=0.6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## 数据SVM分类器构建\n",
    "svm1 = SVC(C=0.1, kernel='rbf')\n",
    "svm2 = SVC(C=1, kernel='rbf')\n",
    "svm3 = SVC(C=10, kernel='rbf')\n",
    "svm4 = SVC(C=100, kernel='rbf')\n",
    "svm5 = SVC(C=500, kernel='rbf')\n",
    "svm6 = SVC(C=100000, kernel='rbf')\n",
    "\n",
    "## 模型训练\n",
    "t0=time.time()\n",
    "svm1.fit(x_train, y_train)\n",
    "t1=time.time()\n",
    "svm2.fit(x_train, y_train)\n",
    "t2=time.time()\n",
    "svm3.fit(x_train, y_train)\n",
    "t3=time.time()\n",
    "svm4.fit(x_train, y_train)\n",
    "t4=time.time()\n",
    "svm5.fit(x_train, y_train)\n",
    "t5=time.time()\n",
    "svm6.fit(x_train, y_train)\n",
    "t6=time.time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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BQWxtbWXcuHEm66jT6aRPnz7K5yg+Pl4++eQTadeunfJZe5w+KOt0OsnIyFC+zD2+XX0A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\nERERKcb/AyHQcSAfweufAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e39b08c438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 效果评估\n",
    "svm1_score1 = accuracy_score(y_train, svm1.predict(x_train))\n",
    "svm1_score2 = accuracy_score(y_test, svm1.predict(x_test))\n",
    "\n",
    "svm2_score1 = accuracy_score(y_train, svm2.predict(x_train))\n",
    "svm2_score2 = accuracy_score(y_test, svm2.predict(x_test))\n",
    "\n",
    "svm3_score1 = accuracy_score(y_train, svm3.predict(x_train))\n",
    "svm3_score2 = accuracy_score(y_test, svm3.predict(x_test))\n",
    "\n",
    "svm4_score1 = accuracy_score(y_train, svm4.predict(x_train))\n",
    "svm4_score2 = accuracy_score(y_test, svm4.predict(x_test))\n",
    "\n",
    "svm5_score1 = accuracy_score(y_train, svm5.predict(x_train))\n",
    "svm5_score2 = accuracy_score(y_test, svm5.predict(x_test))\n",
    "\n",
    "svm6_score1 = accuracy_score(y_train, svm6.predict(x_train))\n",
    "svm6_score2 = accuracy_score(y_test, svm6.predict(x_test))\n",
    "\n",
    "## 画图\n",
    "x_tmp = [0,1,2,3, 4, 5]\n",
    "t_score = [t1 - t0, t2-t1, t3-t2, t4-t3, t5-t4, t6-t5]\n",
    "y_score1 = [svm1_score1, svm2_score1, svm3_score1, svm4_score1, svm5_score1, svm6_score1]\n",
    "y_score2 = [svm1_score2, svm2_score2, svm3_score2, svm4_score2, svm5_score2, svm6_score2]\n",
    "\n",
    "plt.figure(facecolor='w', figsize=(12,6))\n",
    "\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.plot(x_tmp, y_score1, 'r-', lw=2, label=u'训练集准确率')\n",
    "plt.plot(x_tmp, y_score2, 'g-', lw=2, label=u'测试集准确率')\n",
    "plt.xlim(-0.3, 3.3)\n",
    "plt.ylim(np.min((np.min(y_score1), np.min(y_score2)))*0.9, np.max((np.max(y_score1), np.max(y_score2)))*1.1)\n",
    "plt.legend(loc = 'lower left')\n",
    "plt.title(u'模型预测准确率', fontsize=13)\n",
    "plt.xticks(x_tmp, [u'C=0.1', u'C=1', u'C=10', u'C=100', u'C=500', u'C=10000'], rotation=0)\n",
    "plt.grid(b=True)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot(x_tmp, t_score, 'b-', lw=2, label=u'模型训练时间')\n",
    "plt.title(u'模型训练耗时', fontsize=13)\n",
    "plt.xticks(x_tmp, [u'C=0.1', u'C=1', u'C=10', u'C=100', u'C=500', u'C=10000'], rotation=0)\n",
    "plt.xlim(-0.3, 3.3)\n",
    "plt.grid(b=True)\n",
    "\n",
    "plt.suptitle(u'鸢尾花数据SVM分类器不同内核函数模型比较', fontsize=16)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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o0qRJ9PLLLwu/NaKcTqG3336bAAgJuMlkoqysLKGTKC+5HQdE5gn4tGnTqEKFCmbHZmZm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4ad9hAgkzB9BDpd7me6dCmJr798nN9P7OTWli1J+OMkve59ibv7vYxareHhRz+hb///48SJX9Dp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UH9OkSX1GjQpNU7oju7jqc7Tl0KFvef3113NkX7IrZVeCe7iyqI9PprmOUzdXcsmulF2ZGbIr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\nQgghhAgDmYALIYQQQgghhBBh8P8BU5tV2UZvdNQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e39b50bda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 预测结果画图\n",
    "### 画图比较\n",
    "N = 500\n",
    "x1_min, x2_min = x.min()\n",
    "x1_max, x2_max = x.max()\n",
    "\n",
    "t1 = np.linspace(x1_min, x1_max, N)\n",
    "t2 = np.linspace(x2_min, x2_max, N)\n",
    "x1, x2 = np.meshgrid(t1, t2)  # 生成网格采样点\n",
    "grid_show = np.dstack((x1.flat, x2.flat))[0] # 测试点\n",
    "\n",
    "## 获取各个不同算法的测试值\n",
    "svm1_grid_hat = svm1.predict(grid_show)\n",
    "svm1_grid_hat = svm1_grid_hat.reshape(x1.shape)  # 使之与输入的形状相同\n",
    "\n",
    "svm2_grid_hat = svm2.predict(grid_show)\n",
    "svm2_grid_hat = svm2_grid_hat.reshape(x1.shape)  # 使之与输入的形状相同\n",
    "\n",
    "svm3_grid_hat = svm3.predict(grid_show)\n",
    "svm3_grid_hat = svm3_grid_hat.reshape(x1.shape)  # 使之与输入的形状相同\n",
    "\n",
    "svm4_grid_hat = svm4.predict(grid_show)\n",
    "svm4_grid_hat = svm4_grid_hat.reshape(x1.shape)  # 使之与输入的形状相同\n",
    "\n",
    "svm5_grid_hat = svm5.predict(grid_show)\n",
    "svm5_grid_hat = svm5_grid_hat.reshape(x1.shape)  # 使之与输入的形状相同\n",
    "\n",
    "svm6_grid_hat = svm6.predict(grid_show)\n",
    "svm6_grid_hat = svm6_grid_hat.reshape(x1.shape)  # 使之与输入的形状相同\n",
    "\n",
    "## 画图\n",
    "cm_light = mpl.colors.ListedColormap(['#A0FFA0', '#FFA0A0', '#A0A0FF'])\n",
    "cm_dark = mpl.colors.ListedColormap(['g', 'r', 'b'])\n",
    "plt.figure(facecolor='w', figsize=(14,7))\n",
    "\n",
    "### svm\n",
    "plt.subplot(231)\n",
    "## 区域图\n",
    "plt.pcolormesh(x1, x2, svm1_grid_hat, cmap=cm_light)\n",
    "## 所以样本点\n",
    "plt.scatter(x[0], x[1], c=y, edgecolors='k', s=50, cmap=cm_dark)      # 样本\n",
    "## 测试数据集\n",
    "plt.scatter(x_test[0], x_test[1], s=120, facecolors='none', zorder=10)     # 圈中测试集样本\n",
    "## lable列表\n",
    "plt.xlabel(iris_feature[0], fontsize=13)\n",
    "plt.ylabel(iris_feature[1], fontsize=13)\n",
    "plt.xlim(x1_min, x1_max)\n",
    "plt.ylim(x2_min, x2_max)\n",
    "plt.title(u'C=0.1', fontsize=15)\n",
    "plt.grid(b=True, ls=':')\n",
    "plt.tight_layout(pad=1.5)\n",
    "\n",
    "plt.subplot(232)\n",
    "## 区域图\n",
    "plt.pcolormesh(x1, x2, svm2_grid_hat, cmap=cm_light)\n",
    "## 所以样本点\n",
    "plt.scatter(x[0], x[1], c=y, edgecolors='k', s=50, cmap=cm_dark)      # 样本\n",
    "## 测试数据集\n",
    "plt.scatter(x_test[0], x_test[1], s=120, facecolors='none', zorder=10)     # 圈中测试集样本\n",
    "## lable列表\n",
    "plt.xlabel(iris_feature[0], fontsize=13)\n",
    "plt.ylabel(iris_feature[1], fontsize=13)\n",
    "plt.xlim(x1_min, x1_max)\n",
    "plt.ylim(x2_min, x2_max)\n",
    "plt.title(u'C=1', fontsize=15)\n",
    "plt.grid(b=True, ls=':')\n",
    "plt.tight_layout(pad=1.5)\n",
    "\n",
    "plt.subplot(233)\n",
    "## 区域图\n",
    "plt.pcolormesh(x1, x2, svm3_grid_hat, cmap=cm_light)\n",
    "## 所以样本点\n",
    "plt.scatter(x[0], x[1], c=y, edgecolors='k', s=50, cmap=cm_dark)      # 样本\n",
    "## 测试数据集\n",
    "plt.scatter(x_test[0], x_test[1], s=120, facecolors='none', zorder=10)     # 圈中测试集样本\n",
    "## lable列表\n",
    "plt.xlabel(iris_feature[0], fontsize=13)\n",
    "plt.ylabel(iris_feature[1], fontsize=13)\n",
    "plt.xlim(x1_min, x1_max)\n",
    "plt.ylim(x2_min, x2_max)\n",
    "plt.title(u'C=10', fontsize=15)\n",
    "plt.grid(b=True, ls=':')\n",
    "plt.tight_layout(pad=1.5)\n",
    "\n",
    "plt.subplot(234)\n",
    "## 区域图\n",
    "plt.pcolormesh(x1, x2, svm4_grid_hat, cmap=cm_light)\n",
    "## 所以样本点\n",
    "plt.scatter(x[0], x[1], c=y, edgecolors='k', s=50, cmap=cm_dark)      # 样本\n",
    "## 测试数据集\n",
    "plt.scatter(x_test[0], x_test[1], s=120, facecolors='none', zorder=10)     # 圈中测试集样本\n",
    "## lable列表\n",
    "plt.xlabel(iris_feature[0], fontsize=13)\n",
    "plt.ylabel(iris_feature[1], fontsize=13)\n",
    "plt.xlim(x1_min, x1_max)\n",
    "plt.ylim(x2_min, x2_max)\n",
    "plt.title(u'C=100', fontsize=15)\n",
    "plt.grid(b=True, ls=':')\n",
    "plt.tight_layout(pad=1.5)\n",
    "\n",
    "plt.subplot(235)\n",
    "## 区域图\n",
    "plt.pcolormesh(x1, x2, svm5_grid_hat, cmap=cm_light)\n",
    "## 所以样本点\n",
    "plt.scatter(x[0], x[1], c=y, edgecolors='k', s=50, cmap=cm_dark)      # 样本\n",
    "## 测试数据集\n",
    "plt.scatter(x_test[0], x_test[1], s=120, facecolors='none', zorder=10)     # 圈中测试集样本\n",
    "## lable列表\n",
    "plt.xlabel(iris_feature[0], fontsize=13)\n",
    "plt.ylabel(iris_feature[1], fontsize=13)\n",
    "plt.xlim(x1_min, x1_max)\n",
    "plt.ylim(x2_min, x2_max)\n",
    "plt.title(u'C=500', fontsize=15)\n",
    "plt.grid(b=True, ls=':')\n",
    "plt.tight_layout(pad=1.5)\n",
    "\n",
    "plt.subplot(236)\n",
    "## 区域图\n",
    "plt.pcolormesh(x1, x2, svm6_grid_hat, cmap=cm_light)\n",
    "## 所以样本点\n",
    "plt.scatter(x[0], x[1], c=y, edgecolors='k', s=50, cmap=cm_dark)      # 样本\n",
    "## 测试数据集\n",
    "plt.scatter(x_test[0], x_test[1], s=120, facecolors='none', zorder=10)     # 圈中测试集样本\n",
    "## lable列表\n",
    "plt.xlabel(iris_feature[0], fontsize=13)\n",
    "plt.ylabel(iris_feature[1], fontsize=13)\n",
    "plt.xlim(x1_min, x1_max)\n",
    "plt.ylim(x2_min, x2_max)\n",
    "plt.title(u'C=10000', fontsize=15)\n",
    "plt.grid(b=True, ls=':')\n",
    "plt.tight_layout(pad=1.5)\n",
    "\n",
    "\n",
    "plt.suptitle(u'鸢尾花数据SVM分类器不同C参数效果比较', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
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